Systems and methods for automated body mass index calculation to determine value

Abstract

A system and method for automated body mass index is disclosed. The disclosed method operates within a system architecture including one or more computing devices, one or more servers, and one or more databases. A processor operating within the one or more servers executes one or more algorithms for detecting relevant features associated with a potential client's multimedia information. The method may include calculating feature values, such as abdomen circumference, face width, face height, cheekbone width, jaw width, and neck width, and the like as well as calculating the body mass index of the potential client using one or more regression algorithms. A baseline and updated BMI may be determined, and used for determining a baseline and updated value.

What is claimed is: 
     
       1. A method comprising:
 receiving, by a server from an electronic device operated by a user, an image of the user comprising at least one anatomic region of the user, wherein the image is captured by a camera of the electronic device; 
 executing, by the server, an algorithm to identify at least one of an estimated weight value and an estimated height value, whereby the server determines a body mass index value associated with the user based on a set of features extracted from the image depicting the anatomic region of the user, and the estimated height value or the estimated weight value; and 
 displaying, by the server on the electronic device, an underwriting value corresponding to the body mass index value calculated based on the anatomic region of the user within the image. 
 
     
     
       2. The method of  claim 1 , wherein the algorithm is an artificial intelligence model. 
     
     
       3. The method of  claim 1 , wherein the image further comprises a standard sized item. 
     
     
       4. The method of  claim 3 , wherein the standard sized item is at least one of a ruler, credit card, and identification card. 
     
     
       5. The method of  claim 3 , wherein the server receives at least one of the height value and the weight value from the user. 
     
     
       6. The method of  claim 3 , wherein the server displays a message requesting the user to hold the standard sized item against the anatomical region. 
     
     
       7. The method of  claim 3 , wherein the server displays a message requesting the user to align the standard sized object with at least one reference point. 
     
     
       8. The method of  claim 1 , wherein the server further normalizes at least one graphic feature of the anatomic region of the user within the image. 
     
     
       9. The method of  claim 1 , wherein the server calculates a secondary body mass index value based further on at least one of a height value and a weight value received from the user. 
     
     
       10. The method of  claim 1 , wherein the underwriting value corresponds to at least one of a premium and an updated premium. 
     
     
       11. A computer system comprising:
 an electronic device operated by a user, the electronic device having a camera configured to capture images; 
 a server in communication with the electronic device, the server configured to:
 receive, from the electronic device, an image of the user comprising at least one anatomic region of the user, wherein the image is captured by the camera of the electronic device; 
 execute an algorithm to identify at least one of an estimated weight value and an estimated height value, whereby the server determines a body mass index value associated with the user based on a set of features extracted from the image depicting the anatomic region of the user, and the estimated height value or the estimated weight value; and 
 display, on the electronic device, an underwriting value corresponding to the body mass index value calculated based on to the anatomic region of the user within the image. 
 
 
     
     
       12. The computer system of  claim 11 , wherein the algorithm is an artificial intelligence model. 
     
     
       13. The computer system of  claim 11 , wherein the image further comprises a standard sized item. 
     
     
       14. The computer system of  claim 13 , wherein the standard sized item is at least one of a ruler, credit card, and identification card. 
     
     
       15. The computer system of  claim 13 , wherein the server receives at least one of the height value and the weight value from the user. 
     
     
       16. The computer system of  claim 13 , wherein the server displays a message requesting the user to hold the standard sized item up against the anatomical region. 
     
     
       17. The computer system of  claim 13 , wherein the server displays a message requesting the user to align the standard sized object with at least one reference point. 
     
     
       18. The computer system of  claim 11 , wherein the server is further configured to normalize at least one graphic feature of the anatomic region of the user within the image. 
     
     
       19. The computer system of  claim 11 , wherein the server calculates a secondary body mass index value based further on at least one of a height value and a weight value received from the user. 
     
     
       20. The computer system of  claim 11 , wherein the underwriting value corresponds to at least one of a premium and an updated premium.